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Many strategic choices in the social sciences involve sluggish adjustment with an ex-ante unknown lag structure as well as patterns of interdependency among the cross-sectional units, which call for a flexible parameterization based on multiple networks. This chapter proposes straightforward panel-probit estimation approaches based on control functions for such problems. The paper outlines the estimation approaches and illustrates their suitability by simulation examples.

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Estimating Dynamic Probit Models with Higher-order Time- and Network-lag Structure and Correlated Random Effects

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  • 发表日期：

    2025年

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  • Peter H. Egger,
  • Michaela Kesina

摘要

Many strategic choices in the social sciences involve sluggish adjustment with an ex-ante unknown lag structure as well as patterns of interdependency among the cross-sectional units, which call for a flexible parameterization based on multiple networks. This chapter proposes straightforward panel-probit estimation approaches based on control functions for such problems. The paper outlines the estimation approaches and illustrates their suitability by simulation examples.